Opportunities
Job opportunities
BIFOLD welcomes job applications from interested parties year-round.
Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
In addition, you should have experience in two or more of the following: big data frameworks (e.g., Apache Flink, Apache Spark), database systems (e.g., SQL, NoSQL), and programming languages (e.g., Java, Javascript, Scala, C/C++, Python). Good knowledge of both German and English are strongly desired. However, at a minimum, candidates must be able to communicate in English.
If not stated otherwise in the job posting, job applications should be directed to coordination@bifold.berlin.
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.
Open positions
Project Coordinator (TU Berlin / Database Systems and Information Management group)
Project coordinator for BIFOLD with the following working field:
- coordinating and tracking the overall progress in the project as well as the individual subprojects,
- supporting the administration of third-party funds, i.e., monitoring the budget, the allocation of staff as well as reporting obligations (e.g., publications),
- communicating with the funding agency (BMBF), the project management agency (DLR), and the Technische Universität Berlin administration,
- organizing and implementing workshops, internal/external events, consortium meetings as well as review meetings.
Employer: Technische Universität Berlin – Faculty IV – Institute of Software Engineering and Theoretical Computer Science / Database Systems and Information
Salary grade: E13 TV-L Berliner Hochschulen
Starting date: At the earliest possible
Closing date: 12/03/21
Reference number: IV-4/21
PostDoc (MDC Berlin)
Postdoc Position in the research group “Evolutionary and cancer genomics” of Dr. Roland Schwarz. The candidate will be part of an interdisciplinary team with close connections to clinical partners.
Employer: The Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) / Schwarz Lab
Salary grade: E13 TVöD/Bund
Starting date: 15/03/2021
Closing date: 03/03/2021
Full job posting: EN
Educational Programs
EIT Digital Data Science Master’s Program

The EIT Digital, European Institute of Innovation & Technology, has recently established a newData Science Master’s Program, which is launched in 2015. As one of six European universities involved in this initiative – KTH/Stockholm, UNS/Nice-Sophia, TUB/Berlin, TUE/Eindhoven, UPM/Madrid, PoliMi/Mailand – TU Berlin offers a specialisation in the Design, Implementation, and Usage of Data Science Instruments, which provides training in three key areas, namely,
- scalable data management
- data analysis & machine learning
- applications
Please, learn more about:
the Data Science Master (DSC)
the EIT Digital, European Institute of Innovation & Technology
Data Science and Engineering Master’s Track

School IV, Electrical Engineering and Computer Science, of Technische Universität Berlin offers a Data Science and Engineering Track (Certification) integrated in the master’s study program of computer science, computer engineering and business intelligence. During the studies three columns support the specialization:
- Scalable Data Analytics
- Scalable Data Management
- An application area
Application areas are:
Medical science, materials research, energy, logistics
A wide range of english courses guarantees that students without German language knowledge can follow this track.
Description of the certified Data Science and Engineering Track (pdf)
Learn more about the Data Analytics Laboratory
BDMA Master Program

After five years IT4BI Master program, the new Erasmus+ BDMA program favours the integration of students into a network of specialists and researchers in Business Intelligence and Big Data. The Joint Master Degree Programme in Big Data Management and Analytics (BDMA) has been jointly designed and adheres to international studies, being structured to cover all the skills BI and BD specialists require.
The curriculum is jointly delivered by Université Libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Berlin (TUB) in Germany, CentraleSupélec (CS) in France, and The Eindhoven University of Technology (TU/e) in the Netherlands. TUB / DIMA (local program coordinator) offers the specialization Distributed and Large-Scale Business Intelligence.
Learn more about
the BDMA program
the 3rd and 4th semester specialization @DIMA/TUB